Environmental & Ecological Statistics is an incredibly broad term covering any form of statistics applied to environmental issues.
Key themes include climate change, environmental regulation (eg water and air quality), biodiversity monitoring and ecosystem assessment.
This course focuses on this theme rather than a particular type of statistical methodology.
We will look at a variety of statistical methods, some of which you will know, and some which will be new.
| Module | Week | Topic | Activities |
|---|---|---|---|
Environmental Monitoring & Data processing |
1 | Introduction to Environmental and Ecological Statistics | |
| 2 | Monitoring and Data mining | ||
| 3 | Sampling and Monitoring Networks | Lab 1 + Tutorial 1 | |
Measuring Environmental Change |
4 | Assessing Change Over Time | Tutorial 2 |
| 5 | Temporal Correlation and Changepoints | ||
| 6 | Modelling Environmental Extremes | Lab 2 + Tutorial 3 | |
Environmental and Ecological Spatial Statistics |
7 | Modelling Areal Data | Tutorial 4 |
| 8 | Modelling Geostatistical Data | ||
| 9 | Methods for Point referrenced Data | Lab 3 | |
| Special Lecture | 10 | TBC |
Lectures: 2 hours per week
Tutorials: 1 hour fortnightly
Practical: 2 hours three times throughout the semester
Assessment in this course includes continuous assessment and a final exam. The exam will take place in April/May.
Written Exam (75%) - Degree exam in the exam diet
Group Report (25%) - Group project
Written Exam (65%) - Degree exam in the exam diet
Group Report (25%) - Group project
Set Exercise (10%) - Critical review of published research
Students must submit at least 75% by weight of the components (including examinations) of the course’s summative assessment.
“Every breath of air we take, every mouthful of food that we take, comes from the natural world. And if we damage the natural world, we damage ourselves.”
Sir. David Attenborough